The Global Multidimensional Poverty Index 2022: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…The estimates are based on 205 individual survey datasets, mostly the Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey (MICS). …”

Characterizing dry mass and volume changes in human multiple myeloma cells upon treatment with proteotoxic and genotoxic drugs by Liu, Xili, Moscvin, Maria, Oh, Seungeun, Chen, Tianzeng, Choi, Wonshik, Evans, Benjamin, Rowell, Sean M., Nadeem, Omar, Mo, Clifton C., Sperling, Adam S., Anderson, Kenneth C., Yaqoob, Zahid, Bianchi, Giada, Sung, Yongjin

“…For the dry mass measurement, we use two types of phase-sensitive optical microscopy techniques: digital holographic tomography and computationally enhanced quantitative phase microscopy. …”
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Factors associated with body weight status and internet addiction among malaysian university students in Penang: mixed method study before and during covid-19 pandemic by Isaac, Nesamalar

“…In addition, there is a significant contribution of demographic factors, internet addiction, and sleep quality to the body mass index of Malaysian university/college students in Penang.…”
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What does sounding Singaporean mean? by Tan, Charmaine Li Min

“…This paper aims to investigate which vocalic features mark Singaporean speech, and if the phonetic patterns follow demographic trends of education levels and ethnicity. …”
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The paradox of technology innovativeness and risk perceptions – a profile of Asian smartphone users by Wang, Xiaohui, Lee, Kwan Min

“…The four clusters show significant differences in demographic features. Theoretical and practical implications are discussed based on these findings.…”
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Examining the quality of life of elders in Singapore by Chee, Wai Ern

“…With Singapore's rapidly ageing population, the well-being of this demographic has become increasingly pertinent. This study aims to evaluate the quality of life of elders in Singapore based on Article 25 of the Universal Declaration of Human Rights, which states that access to housing, medical care, food, clothing and social services is a fundamental human right. …”
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Banking behaviour of expatriate lecturers in Singapore. by Goh, Amy., Phua, Nai Hsin., Poh, Siok Peng.

“…The study of the influences of certain demographic factors are also carried out for some of the above analysis. …”
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The Global Multidimensional Poverty Index 2024: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…The estimates are based on 233 individual survey datasets, mostly the Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey (MICS). …”

Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

“…<p>Identical-By-Descent (IBD) segments are a fundamental measure of ge- netic relatedness and IBD detection is of great interest in many applica- tions, including demographic inference and haplotype-based association. …”

Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients by Bertsimas, D, Borenstein, A, Mingardi, L, Nohadani, O, Orfanoudaki, A, Stellato, B, Wiberg, H, Sarin, P, Varelmann, DJ, Estrada, V, Macaya, C, Gil, IJN

“…Our approach leverages clinical and demographic information to identify hospitalized individuals whose probability of mortality or morbidity can decrease by prescribing this class of drugs. …”

Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…We also curate m2s2-SITS, a large-scale dataset of unlabeled, spatially aligned, multimodal, and geographic-specific SITS that serves as representative pretraining data for S4. …”
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Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms by Hou, Hui, Yu, Shiwen, Wang, Hongbin, Huang, Yong, Wu, Hao, Xu, Yan, Li, Xianqiang, Geng, Hao

“…On the data layer, a spatial multi-source heterogeneous information database is built based on equipment operation information, meteorological information, and geographic information. On the knowledge extraction layer, six intelligent risk prediction models are established based on machine learning algorithms by hyperparameter optimization. …”
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Development of the polyglot Asian medicine knowledge graph system by Khoo, Christopher S. G., Stanley-Baker, Michael, Faizah Binte Zakaria, Chen, Jinju, Ang, Shaun Qiao Rou, Huang, Bo

“…The knowledge graph currently links the medicine names in the original and English languages, to alternate names and scientific names, to plant/animal parts they are made from, to literary and historical sources they were mentioned in, to geographic areas they were associated with, and to external database records. …”
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Maximizing airport runway throughput via sequencing arrival schedule by Lin, Chuanwen

“…However, due to environmental and geographic limitations, these are no longer viable solutions to counteract increasing air traffic. …”
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Episcopacy and parochialism in early South African Anglicanism: Bishop Robert Gray and the antecedent churches of the Cape Colony, 1806-72 by Bester, M

“…However, the theological deprecations are misleading: parochial opposition to Gray arose primarily from resistance to episcopal authority, made acute by colonial identity, conservatism, and geographic isolation, rather than differing ecclesiology. …”

Accessibility, inclusivity, and implementation of COVID-19 clinical management guidelines early in the pandemic: a global survey by Pilbeam, C, Malden, D, Newell, K, Dagens, A, Kennon, K, Michelen, M, Gobat, N, Sigfrid, L

“…Data on accessibility, inclusivity, and implementation of CMGs were analysed by geographic location. <br><strong>Results: </strong>76 clinicians from 27 countries responded: 82% from high-income countries, 17% from lower middle-income countries (LMICs). …”

Practitioner, patient and public views on the acceptability of mobile stroke units in England and Wales: A mixed methods study by Moseley, L, McMeekin, P, Price, C, Shaw, L, Laws, A, Allen, M, Ford, GA, James, M, McCarthy, S, McClelland, G, Park, LJ, Pearn, K, Phillips, D, White, P, Wilson, D, Scott, J

“…These concerns included how MSUs would be staffed; whether and how telemedicine could contribute; the types of economic impacts; extent to which triage systems could accurately identify stroke patients for MSUs to attend; where the base location and geographic coverage of MSUs should be, the impact of MSUs on equitable access to stroke care, and how to improve public awareness of MSUs. …”

Dengue hemorrhagic fever prevention and control: DHF-solve model using linebot-application and GIS by Mala, M., Meenongwar, C., Jundaeng, J., Osman, M., Viegus, Z., Nithikathkul, C.

“…This research article centres on developing a model to prevent and control DHF, utilising the DHF-Solve model, a Linebot, and Geographic Information Systems (GIS). The research was conducted in four phases. …”
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Fine-scale genetic structure and natural selection signatures of southwestern Hans inferred from patterns of genome-wide allele, haplotype, and haplogroup lineages by Wang, Mengge, Yuan, Didi, Zou, Xing, Wang, Zheng, Yeh, Hui-Yuan, Liu, Jing, Wei, Lan-Hai, Wang, Chuan-Chao, Zhu, Bofeng, Liu, Chao, He, Guanglin

“…Generally, we provided a case and ideal strategy to reconstruct the detailed demographic evolutionary history of Guizhou Hans, which provided new insights into the fine-scale genomic formation of one ethnolinguistically specific targeted population from the comprehensive perspectives of the shared unlinked alleles, linked haplotypes, and paternal and maternal lineages.…”
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Towards a translation policy in Singapore : illuminations by community translation & interpretation by Li, Xulin

“…It takes on a macro perspective of national competitiveness via formulation of a translation policy to grow the linguistic and translation assets of the nation. In surveying the demographic composition and trend, local linguistic resources and education, the paper proposes recommendations in pushing forward CTI as part of the strategy for growth. …”
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